A new approach for detection Alzheimer's Disease with machine learning using Whole Genomic and Single Nucleotide Polymorphism-Chip data

A Samir, F Soufy, O Ehab, S Hassan… - 2021 IEEE 11th …, 2021 - ieeexplore.ieee.org
A Samir, F Soufy, O Ehab, S Hassan, L Shaheen, A AbdelRaouf, N Elsamanodie
2021 IEEE 11th Annual Computing and Communication Workshop and …, 2021ieeexplore.ieee.org
One advantage of exploring the human DNA (De-oxyribonucleic acid) is the revelation of its
contribution to many human diseases. In result of exploring the DNA, there were specific
genes in specific chromosomes in the DNA that reveal Alzheimer's Disease (AD). Prognosis
of AD helps in slowing down the progression of the disease considerably which is our main
goal. AD is an irreversible progressive disease in the brain that slowly causes decline in the
memory affecting the patient's life. AD can be detected by screening the WGS (Whole …
One advantage of exploring the human DNA (De-oxyribonucleic acid) is the revelation of its contribution to many human diseases. In result of exploring the DNA, there were specific genes in specific chromosomes in the DNA that reveal Alzheimer's Disease (AD). Prognosis of AD helps in slowing down the progression of the disease considerably which is our main goal. AD is an irreversible progressive disease in the brain that slowly causes decline in the memory affecting the patient's life. AD can be detected by screening the WGS (Whole Genome Sequence) to search in specific genes that are responsible for detecting AD or by finding the mutations that happens in the SNPs (Single-Nucleotide Polymorphism) in these specific genes. This research applies two different approaches to study and analyze the DNA and compares them to each other to determine the most suitable approach regarding detecting AD. A dataset was imported and accommodated from The Alzheimer's Disease Neuroimaging Initiative (ADNI) used to implement our research. Our research obtained that using SNPs in studying and analyzing AD is faster and more reliable than using WGS.
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